A RISK ASSESSMENT MODEL FOR SUPPLY CHAINS
Abstract
Purpose- This research proposes an integrated methodology to assess the risks in supply chains.
Methodology- Regarding the importance of risk management in supply chains, an integrated model including Failure Mode Effects Analysis (FMEA), Analytic Hierarchy Process (AHP) and Weighted Product (WP) is proposed. Within the proposed methodology, firstly the supply chain risks are determined by both benefiting from the literature and a survey among experts including academics and sector representatives. Afterwards, different from the classical FMEA approach, the three factors; detection, severity and occurrence are weighted via AHP. Then, the supply chain risks are prioritized based on these weighted factors and WP.
Findings- Prioritized sub-risks in supply chain and the most important sub-risk are obtained as a result of the proposed methodology.
Conclusion- The study provides a risk assessment methodology which is an important part of risk management process. It is planned to provide benefit both for the practitioners and academics focusing on risks in supply chains.
Keywords
References
- Aqlan, F., Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics, 161, 54-63. doi:10.1016/j.ijpe.2014.11.013
- Aslani, R., Feili, H., Javanshir, H. (2014). A hybrid of fuzzy FMEA-AHP to determine factors affecting alternator failure causes. Management Science Letters, 4(9), 1981-1984.
- Chaudhuri, A., Mohanty, B. K., Singh, K. N. (2013). Supply chain risk assessment during new product development: a group decision making approach using numeric and linguistic data. International Journal of Production Research, 51(10), 2790-2804.
- Diabat, A., Govindan, K., Panicker, V. V. (2012). Supply chain risk management and its mitigation in a food industry. International Journal of Production Research, 50(11), 3039-3050.
- Hu, A. H., Hsu, C. W., Kuo, T. C., Wu, W. C. (2009). Risk evaluation of green components to hazardous substance using FMEA and FAHP. Expert Systems with Applications, 36(3), 7142-7147.
- Jaberidoost, M., Olfat, L., Hosseini, A., Kebriaeezadeh, A., Abdollahi, M., Alaeddini, M., Dinarvand, R. (2015). Pharmaceutical supply chain risk assessment in Iran using analytic hierarchy process (AHP) and simple additive weighting (SAW) methods. Journal of pharmaceutical policy and practice, 8(1), 9.
- Li, Z. P., Yee, Q. M. G., Tan, P. S., Lee, S. G. (2013, December). An extended risk matrix approach for supply chain risk assessment. In Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on(pp. 1699-1704). IEEE.
- Liu, Z., Lai, M., Zhou, T., Zhou, Y. (2009, June). A supply chain risk assessment model based on multistage influence diagram. In Service Systems and Service Management, 2009. ICSSSM'09. 6th International Conference on (pp. 72-75). IEEE.
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Sena Kubra Canbakis
*
This is me
0000-0003-4694-523X
Melike Karabas
This is me
0000-0001-5782-0956
Sedef Koseoglu
This is me
0000-0001-6641-4458
Ezgi Unal
This is me
0000-0002-9173-6843
Publication Date
September 1, 2018
Submission Date
July 12, 2018
Acceptance Date
-
Published in Issue
Year 2018 Volume: 7 Number: 1